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Supercharge Your Model Training
Rust bindings for the C++ api of PyTorch.
Build Graph Nets in Tensorflow
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Probabilistic time series modeling in Python
Implement a reasoning LLM in PyTorch from scratch, step by step
Image augmentation library in Python for machine learning.
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
On-device AI across mobile, embedded and edge for PyTorch
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Time series forecasting with PyTorch
An Engine-Agnostic Deep Learning Framework in Java
🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Relax! Flux is the ML library that doesn't make you tensor
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
Fast inference engine for Transformer models
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣
A unified, comprehensive and efficient recommendation library
LLM training code for Databricks foundation models
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
Scalable and user friendly neural :brain: forecasting algorithms.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data